{"uid":"cap_BhhNEurKRvKCoXewpNJAR","slug":"agent-hub-qwen-2-5-coder-32b-chat-completions-135f014c","name":"Agent Hub – Qwen 2.5 Coder 32B Chat Completions","description":"OpenAI-compatible chat completions on Qwen 2.5 Coder 32B for code generation, review and fixes. Set your OpenAI SDK base URL to https://agents.torbrooknews.com/v1/coder and pay $0.006 per request with x402 instead of an API key. Same request/response shape as OpenAI (streaming supported), up to 2048 output tokens. Also callable as GET with the same fields as query parameters.","url":"https://agents.torbrooknews.com/v1/coder/chat/completions?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["prompt"],"properties":{"prompt":{"type":"string","description":"User message"},"system":{"type":"string","description":"Optional system message"},"max_tokens":{"type":"integer"},"temperature":{"type":"number"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.006","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.006/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.006","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.006","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_vgagDWvhJXHLWm-7N4KLb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.006","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs OpenAI-compatible chat completions using Qwen 2.5 Coder 32B for code generation, review, and fixes, billed at $0.006 USDC per request via x402.","exampleAgentPrompt":"Can you write me a Python function that takes a list of dictionaries and groups them by a given key, with max 512 output tokens and a temperature of 0.2?","exampleUseCases":[{"title":"Automated code review in CI","prompt":"Review this Python function and point out any bugs, edge cases I haven't handled, and style issues: def divide(a, b): return a / b"},{"title":"Bug fix from error message","prompt":"I'm getting a TypeError: 'NoneType' object is not subscriptable on line 12 of this code — can you fix it? The code is: result = data['items'][0]"},{"title":"Generate SQL from schema description","prompt":"Write a SQL query that joins a users table and an orders table on user_id, filters for orders placed in the last 30 days, and returns the user's name and total order count, keeping max_tokens at 1024."}],"resultDescription":"An OpenAI-compatible chat completion response containing the generated or reviewed code in the assistant message field, along with token usage statistics. Streaming is supported for progressive output up to 2048 output tokens.","failureModes":["Payment not processed (x402 error) — request fails if USDC payment of $0.006 is not completed","Prompt too long — input exceeding context window returns an error","max_tokens capped at 2048 — requests asking for more output will be truncated","Temperature or parameter out of range — invalid values may return a 400 error","Model unavailability — transient 503 if the underlying Qwen model is down"],"whenToPreferThis":"Choose this endpoint when you need strong code-focused completions from Qwen 2.5 Coder 32B and want a pay-per-call model without API key management. It is ideal for coding agents, CI pipelines, or developer tools that need reliable code generation, review, and bug fixing without committing to a monthly subscription. Prefer it over general-purpose LLMs when the task is predominantly code-related.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T12:46:25.804Z","isFirstParty":false,"canonicalSlug":"agent-hub-qwen-2-5-coder-32b-chat-completions-135f014c"}